Triple
T4554453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gravatar |
E120447
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gravatar |
E120447
|
NE FINISHED |
How this triple was built (2 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: Gravatar | Statement: [Gravatar, name, Gravatar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gravatar Context triple: [Gravatar, name, Gravatar]
-
A.
Gravatar
chosen
Gravatar is an online service that provides globally recognized avatars linked to users’ email addresses for use across websites and applications.
-
B.
Lovelight
"Lovelight" is a lesser-known song by ABBA, originally released as the B-side to their 1979 single "Chiquitita."
-
C.
Icon
Icon is a superhero comic book series from Milestone Media, centered on an alien hero who becomes a symbol of Black empowerment and social commentary in an urban American setting.
-
D.
Icon
Icon is a multi-launch steel roller coaster at Blackpool Pleasure Beach in England, known for its smooth ride, inversions, and high-speed twists.
-
E.
Grin
Grin was an early 1970s American rock band led by guitarist and singer-songwriter Nils Lofgren, known for its melodic, roots-influenced rock sound.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd4636f1648190a701445c2fcd9c17 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd58127ed08190a04962a43afb888b |
completed | March 20, 2026, 2:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdc575e3388190ac95b9e0537fb701 |
completed | March 20, 2026, 10:08 p.m. |
Created at: March 20, 2026, 1:09 p.m.