Triple
T34372464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broken Lance |
E882196
|
entity |
| Predicate | academyAwardWinningWriter |
P12611
|
FINISHED |
| Object | Philip Yordan |
—
|
NE NERFINISHED |
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: Philip Yordan | Statement: [Broken Lance, academyAwardWinningWriter, Philip Yordan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academyAwardWinningWriter Context triple: [Broken Lance, academyAwardWinningWriter, Philip Yordan]
-
A.
hasScreenwriter
Indicates that a creative work is associated with the person or entity who wrote its screenplay or script.
-
B.
academyAwardForBestWritingScreenplay
chosen
Indicates that an entity received the Academy Award for Best Writing (Screenplay) for a particular film or work.
-
C.
hasScreenwriterCreator
Indicates that an entity has another entity serving as the screenwriter who created or originated its screenplay.
-
D.
screenwriterCreator
Indicates that one entity is the screenwriter who created or authored the screenplay for another entity (such as a film, episode, or audiovisual work).
-
E.
screenplayNominatedWriters
Indicates that the specified writers were nominated for an award for their work on the screenplay of the given film or production.
- F. None of above.
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_69f349bf5d7481908dd5da4cbdf74047 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f71c35327c8190884f1bfe12bd2cd7 |
completed | May 3, 2026, 9:58 a.m. |
| PD | Predicate disambiguation | batch_69f71822d0e88190ac9731c7ae5a4def |
completed | May 3, 2026, 9:40 a.m. |
Created at: May 1, 2026, 1:59 a.m.