Triple
T3130576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 13th |
E65400
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Spencer Averick |
E46923
|
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: Spencer Averick | Statement: [13th, editor, Spencer Averick]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spencer Averick Context triple: [13th, editor, Spencer Averick]
-
A.
Spencer Averick
chosen
Spencer Averick is an American film editor best known for his frequent collaborations with director Ava DuVernay on acclaimed projects such as Selma and 13th.
-
B.
Hayden Schlossberg
Hayden Schlossberg is an American screenwriter, director, and producer best known as a co-creator of the Harold & Kumar film series and the Cobra Kai television series.
-
C.
Dylan Tichenor
Dylan Tichenor is an American film editor known for his work on acclaimed films such as "There Will Be Blood," "Boogie Nights," and "The Royal Tenenbaums."
-
D.
Spencer Laudiero
Spencer Laudiero is an American animation director and storyboard artist known for his work on television series such as "Family Guy" and "The Orville."
-
E.
Cory Hardrict
Cory Hardrict is an American actor known for his work in film and television, including roles in projects like "American Sniper," "Brotherly Love," and various TV dramas.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada54b0e688190b691771f17f4c721 |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b224d860dc819095a864619bc29411 |
completed | March 12, 2026, 2:28 a.m. |
Created at: March 8, 2026, 3:04 p.m.