Triple
T8433248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gamora |
E199165
|
entity |
| Predicate | species |
P87
|
FINISHED |
| Object |
Zen-Whoberian
Zen-Whoberians are a fictional alien humanoid species in the Marvel universe, best known through the character Gamora and characterized by their green skin, enhanced physical abilities, and warrior culture.
|
E734023
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Zen-Whoberian | Statement: [Gamora, species, Zen-Whoberian]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zen-Whoberian Context triple: [Gamora, species, Zen-Whoberian]
-
A.
Heiga Zen
Heiga Zen is a researcher in speech synthesis and machine learning, known for helping develop Google's WaveNet neural network for generating raw audio.
-
B.
ZEN
ZEN is the stock ticker symbol for Zendesk, a customer service and engagement software company.
-
C.
Zen
Zen is a British television crime drama series based on Michael Dibdin’s Aurelio Zen detective novels, produced by Left Bank Pictures.
-
D.
Zen
Zen is AMD's high-performance x86 CPU microarchitecture that underpins its modern EPYC server processors and Ryzen desktop chips.
-
E.
Everything Zen
"Everything Zen" is the debut single by British rock band Bush, known for its grunge-influenced sound and role in establishing the group's popularity in the mid-1990s.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Zen-Whoberian Triple: [Gamora, species, Zen-Whoberian]
Generated description
Zen-Whoberians are a fictional alien humanoid species in the Marvel universe, best known through the character Gamora and characterized by their green skin, enhanced physical abilities, and warrior culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zen-Whoberian Target entity description: Zen-Whoberians are a fictional alien humanoid species in the Marvel universe, best known through the character Gamora and characterized by their green skin, enhanced physical abilities, and warrior culture.
-
A.
Heiga Zen
Heiga Zen is a researcher in speech synthesis and machine learning, known for helping develop Google's WaveNet neural network for generating raw audio.
-
B.
ZEN
ZEN is the stock ticker symbol for Zendesk, a customer service and engagement software company.
-
C.
Zen
Zen is a British television crime drama series based on Michael Dibdin’s Aurelio Zen detective novels, produced by Left Bank Pictures.
-
D.
Zen
Zen is AMD's high-performance x86 CPU microarchitecture that underpins its modern EPYC server processors and Ryzen desktop chips.
-
E.
Everything Zen
"Everything Zen" is the debut single by British rock band Bush, known for its grunge-influenced sound and role in establishing the group's popularity in the mid-1990s.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca8313c99081909a5c6d83b91de5b3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbd1a74d948190abd76e7a6efb42ec |
completed | March 31, 2026, 1:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d673ed48190abf765c203ed2a0f |
completed | April 2, 2026, 7:40 a.m. |
| NEDg | Description generation | batch_69ce1e6e83008190a4c2f796928882c1 |
completed | April 2, 2026, 7:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce1f3d46f48190be7b494e808a70f9 |
completed | April 2, 2026, 7:48 a.m. |
Created at: March 30, 2026, 6:07 p.m.