Triple
T16590849
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steven Haft |
E403079
|
entity |
| Predicate | producerOf |
P490
|
FINISHED |
| Object | D.O.A. (1988 film) |
E854119
|
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: D.O.A. (1988 film) | Statement: [Steven Haft, producerOf, D.O.A. (1988 film)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: D.O.A. (1988 film) Context triple: [Steven Haft, producerOf, D.O.A. (1988 film)]
-
A.
D.O.A.
"D.O.A." is a popular track by Lil Wayne, featured on his influential mixtape "No Ceilings."
-
B.
D.O.A.
chosen
D.O.A. is a 1988 neo-noir thriller film about a poisoned man racing to solve his own impending murder.
-
C.
D.O.A. (1950 film)
D.O.A. (1950 film) is a classic American film noir thriller about a man racing to solve his own murder after being fatally poisoned.
-
D.
film "D.O.A."
The film "D.O.A." is a classic 1950 American film noir thriller about a man who, after being fatally poisoned, races against time to solve his own impending murder.
-
E.
D.O.D.
D.O.D. is an electronic music producer and DJ known for high-energy house tracks and festival-ready club anthems.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e359a012e081909a0604dde3c04bbb |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007da6d6f08190a8524b1c955b7c2e |
completed | May 10, 2026, 12:44 p.m. |
Created at: April 10, 2026, 5:16 a.m.