Triple
T9762827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spider-Man 2 |
E236709
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Laura Ziskin |
E378759
|
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: Laura Ziskin | Statement: [Spider-Man 2, producer, Laura Ziskin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Ziskin Context triple: [Spider-Man 2, producer, Laura Ziskin]
-
A.
Laura Ziskin
chosen
Laura Ziskin was an American film and television producer best known for her work on the Spider-Man film franchise and for being the first woman to solo-produce the Academy Awards telecast.
-
B.
Joan Micklin Silver
Joan Micklin Silver was an American film director and screenwriter known for her independent, character-driven films such as "Hester Street" and "Crossing Delancey."
-
C.
Callie Khouri
Callie Khouri is an American screenwriter and director best known for her Oscar-winning feminist road movie "Thelma & Louise."
-
D.
Judine Brooks
Judine Brooks is the wife of fantasy author Terry Brooks and is known for her long-term support of his writing career.
-
E.
Kate Lemmon
Kate Lemmon is a fictional character who serves as the central protagonist in the comedy film "The Tall Guy."
- 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_69ca84d64f6c8190a4ed4e9f5936eda5 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda09d8bc88190808145f141b4a9f8 |
completed | April 1, 2026, 10:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c41022908190a5f55291a2323691 |
completed | April 5, 2026, 2:08 a.m. |
Created at: March 30, 2026, 8:25 p.m.