Triple
T14520916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Todd Haynes |
E340647
|
entity |
| Predicate | hasSurname |
P18
|
FINISHED |
| Object | Haynes |
E340647
|
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: Haynes | Statement: [Todd Haynes, hasSurname, Haynes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haynes Context triple: [Todd Haynes, hasSurname, Haynes]
-
A.
Haynes
chosen
Haynes is a surname most notably associated with American filmmaker Todd Haynes, known for his influential work in independent cinema.
-
B.
Haynrode
Haynrode is a small village in the German state of Thuringia.
-
C.
Pitman
Pitman is a small borough in southern New Jersey known for its historic downtown and community-oriented residential character.
-
D.
Boreman
Boreman is the birth surname of Linda Lovelace, the infamous American pornographic film actress best known for her role in "Deep Throat."
-
E.
Hartman
Hartman is a surname of Germanic origin borne by various notable individuals across fields such as entertainment, academia, and politics.
- 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_69d822d9c0408190b9a2b3643e58bb4d |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69de9a72cff08190878b4bed9b0b5eb5 |
completed | April 14, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a4b71688190ae9ebccdc81d09f8 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.