Triple
T13102758
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matilda |
E310759
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Nicholas Kazan |
E502205
|
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: Nicholas Kazan | Statement: [Matilda, screenwriter, Nicholas Kazan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicholas Kazan Context triple: [Matilda, screenwriter, Nicholas Kazan]
-
A.
Nicholas Kazan
chosen
Nicholas Kazan is an American screenwriter, playwright, and director known for films such as "Reversal of Fortune" and for being the son of famed director Elia Kazan.
-
B.
Robert Kazinsky
Robert Kazinsky is a British actor best known for his roles in the TV series "EastEnders" and "True Blood," as well as in films such as "Pacific Rim" and "Warcraft."
-
C.
Michael K. Powell
Michael K. Powell is an American lawyer and politician best known for serving as chairman of the Federal Communications Commission (FCC) from 2001 to 2005.
-
D.
David Cromer
David Cromer is an American director and actor known for his acclaimed work in theater, including innovative stage productions and performances on and off Broadway.
-
E.
Kevin Kiner
Kevin Kiner is an American composer best known for his prolific work on film and television scores, including major franchises like Star Wars and DC Comics adaptations.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98153255c8190b6ab64ac0c4716f8 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d61d88888190bfc631b759f14598 |
completed | May 3, 2026, 4:59 a.m. |
Created at: April 9, 2026, 9:04 p.m.