Triple
T15625210
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lightyear |
E375660
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object | Angus MacLane |
E237558
|
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: Angus MacLane | Statement: [Lightyear, screenwriter, Angus MacLane]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Angus MacLane Context triple: [Lightyear, screenwriter, Angus MacLane]
-
A.
Angus MacLane
chosen
Angus MacLane is an American animator, director, and longtime Pixar filmmaker known for his work on projects such as Finding Dory and the Toy Story franchise.
-
B.
Donald R. McLennan
Donald R. McLennan was an American insurance executive and entrepreneur best known as the co-founder of the global professional services firm Marsh & McLennan.
-
C.
Alister McIntyre
Alister McIntyre was a prominent Grenadian economist and regional leader who played a key role in advancing Caribbean economic integration and development.
-
D.
J. M. Macdonnell
J. M. Macdonnell was a Canadian academic and administrator who served as a chancellor at Carleton University.
-
E.
Alan McElroy
Alan McElroy is an American screenwriter and producer known for his work on horror and action films and television series.
- 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_69d85cd035a48190b73d5579ab73969a |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e9e5e248190ae54cda1fde51efb |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff678c9d8c8190be73b6e7ed558e99 |
completed | May 9, 2026, 4:57 p.m. |
Created at: April 10, 2026, 4:14 a.m.