Triple
T22916495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farewell to the King |
E568745
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Andre Morgan |
—
|
NE NERFINISHED |
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: Andre Morgan | Statement: [Farewell to the King, producer, Andre Morgan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andre Morgan Context triple: [Farewell to the King, producer, Andre Morgan]
-
A.
Andre Morgan
chosen
Andre Morgan is a film producer known for his work on movies such as the comedy "Snow Dogs."
-
B.
Danny Morgan
Danny Morgan is an actor known for appearing in the 2012 film adaptation of Jack Kerouac's "On the Road."
-
C.
Danny Morgan
Danny Morgan is a fictional child character on the soap opera "General Hospital," born to Jason Morgan and Sam McCall and connected to the prominent Quartermaine family.
-
D.
Neal Morgan
Neal Morgan is an American drummer and composer best known for his work with indie and folk artists, including collaborations with Joanna Newsom and Bill Callahan.
-
E.
Tim Morgan
Tim Morgan is a Canadian entrepreneur best known as one of the co-founders of the low-cost airline WestJet.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458d90c88190a58cead4e781ca6a |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1807a14648190b5d5f7d926f19320 |
completed | April 29, 2026, 3:52 a.m. |
Created at: April 17, 2026, 3:42 p.m.