Triple
T13385277
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Timeline (film score) |
E319426
|
entity |
| Predicate | basedOnAuthor |
P2806
|
FINISHED |
| Object | Michael Crichton |
E224766
|
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: Michael Crichton | Statement: [Timeline (film score), basedOnAuthor, Michael Crichton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Crichton Context triple: [Timeline (film score), basedOnAuthor, Michael Crichton]
-
A.
Michael Crichton
chosen
Michael Crichton was an American author, screenwriter, and filmmaker best known for his science fiction and techno-thriller novels such as "Jurassic Park" and for creating the television series "ER."
-
B.
John Michael Todd Crichton
John Michael Todd Crichton is the son of the late American author and filmmaker Michael Crichton.
-
C.
Kenneth Crichton
Kenneth Crichton is a Marvel Comics character associated with the World War II-era hero Spitfire and the Union Jack legacy.
-
D.
Peter Benchley
Peter Benchley was an American author and screenwriter best known for writing the novel "Jaws," which was adapted into the iconic 1975 film.
-
E.
Dan Simmons
Dan Simmons is an American author best known for his genre-spanning speculative fiction, including acclaimed works of science fiction, horror, and historical fiction.
- 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce96d1881909957fdd068a7f55d |
completed | April 11, 2026, 11:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7268f9a908190843481dd313f5a11 |
completed | May 3, 2026, 10:42 a.m. |
Created at: April 9, 2026, 9:33 p.m.