Triple
T7902602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Four EP project (ONE, TWO, THREE, FOUR) |
E183490
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
TWO
TWO is the second installment in the "Four EP" music project series.
|
E700556
|
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: TWO | Statement: [Four EP project (ONE, TWO, THREE, FOUR), hasPart, TWO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TWO Context triple: [Four EP project (ONE, TWO, THREE, FOUR), hasPart, TWO]
-
A.
ZWEI
ZWEI is an early extensible text editor developed at MIT, notable as a precursor and influence on later Emacs implementations.
-
B.
7TWO
7TWO is an Australian free-to-air digital television channel operated by the Seven Network, featuring a mix of drama, lifestyle, reality, and classic programming.
-
C.
Zweibund
Zweibund was the German term for the Dual Alliance, a key late 19th-century military and political alliance between Germany and Austria-Hungary that shaped pre–World War I European diplomacy.
-
D.
TTWO
TTWO is the stock ticker symbol for Take-Two Interactive Software, a major American video game publisher known for franchises like Grand Theft Auto and NBA 2K.
-
E.
One Two
One Two is a small-time London criminal and the central protagonist in Guy Ritchie's crime film "RocknRolla."
- 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: TWO Triple: [Four EP project (ONE, TWO, THREE, FOUR), hasPart, TWO]
Generated description
TWO is the second installment in the "Four EP" music project series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TWO Target entity description: TWO is the second installment in the "Four EP" music project series.
-
A.
ZWEI
ZWEI is an early extensible text editor developed at MIT, notable as a precursor and influence on later Emacs implementations.
-
B.
7TWO
7TWO is an Australian free-to-air digital television channel operated by the Seven Network, featuring a mix of drama, lifestyle, reality, and classic programming.
-
C.
Zweibund
Zweibund was the German term for the Dual Alliance, a key late 19th-century military and political alliance between Germany and Austria-Hungary that shaped pre–World War I European diplomacy.
-
D.
TTWO
TTWO is the stock ticker symbol for Take-Two Interactive Software, a major American video game publisher known for franchises like Grand Theft Auto and NBA 2K.
-
E.
One Two
One Two is a small-time London criminal and the central protagonist in Guy Ritchie's crime film "RocknRolla."
- 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_69ca828d13088190b222be7aa9f9315c |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a40a0508190864479c2c41b12cb |
completed | March 31, 2026, 3:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb5bc35cec8190bda3dfe7d8d4ed18 |
completed | March 31, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_69cb7632cbbc819087107c8d2172a038 |
completed | March 31, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cbb64eee408190a66cbd0cba3054b4 |
completed | March 31, 2026, 11:55 a.m. |
Created at: March 30, 2026, 5:02 p.m.