Triple
T13472456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tyler Durden |
E318162
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Chuck Palahniuk |
E311587
|
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: Chuck Palahniuk | Statement: [Tyler Durden, createdBy, Chuck Palahniuk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chuck Palahniuk Context triple: [Tyler Durden, createdBy, Chuck Palahniuk]
-
A.
Chuck Palahniuk
chosen
Chuck Palahniuk is an American novelist and journalist best known for his transgressive fiction, particularly the novel "Fight Club."
-
B.
Volodymyr Palahniuk
Volodymyr Palahniuk, better known as Jack Palance, was an American actor famed for his intense screen presence and memorable tough-guy roles in film and television.
-
C.
Matt Ruff
Matt Ruff is an American novelist known for his genre-bending, imaginative works, including the novel that inspired the television series "Lovecraft Country."
-
D.
Greg Grabianski
Greg Grabianski is a screenwriter best known for his work on the parody horror-comedy film "Scary Movie 2."
-
E.
Bret Easton Ellis
Bret Easton Ellis is an American novelist and screenwriter known for his transgressive, minimalist fiction exploring alienation and excess, including works like "Less Than Zero" and "American Psycho."
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf22e5f88190b1078f006c8ef7c0 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f7fcab0819091146d54d56f08d7 |
completed | May 3, 2026, 5:01 p.m. |
Created at: April 9, 2026, 9:42 p.m.