Triple
T29161843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Honey Irani |
E739208
|
entity |
| Predicate | yearsActiveAsScreenwriter |
P166926
|
FINISHED |
| Object | 1980s–2000s |
—
|
LITERAL 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: 1980s–2000s | Statement: [Honey Irani, yearsActiveAsScreenwriter, 1980s–2000s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearsActiveAsScreenwriter Context triple: [Honey Irani, yearsActiveAsScreenwriter, 1980s–2000s]
-
A.
hasScreenwriter
Indicates that a creative work is associated with the person or entity who wrote its screenplay or script.
-
B.
screenwriterWorkedWith
Indicates that a screenwriter has collaborated professionally with another individual on one or more film, television, or related media projects.
-
C.
screenwriterOfWorkAppearingIn
Indicates that a person is the screenwriter of a work in which a specified entity (such as a character, actor, or role) appears.
-
D.
wroteScreenplaysFor
Indicates that one entity is the author or writer of screenplays created for another entity, such as a film, series, or production.
-
E.
screenwriterOfWorkAppearsIn
Indicates that a person is the screenwriter of a work in which they themselves also appear.
- F. None of above. chosen
Provenance (4 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_69f07cb528fc8190a556b73990c347c8 |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f664aa283c8190a869d0555eff60c6 |
completed | May 2, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f663362c008190a22afed262f1e426 |
completed | May 2, 2026, 8:48 p.m. |
| PDg | Predicate description generation | batch_69f6645a615481909b53d94512ecbaf1 |
completed | May 2, 2026, 8:53 p.m. |
Created at: April 28, 2026, 11:48 a.m.