Triple
T16847533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bone Tomahawk |
E409582
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Lili Simmons |
—
|
NE ONNED1 |
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: Lili Simmons | Statement: [Bone Tomahawk, starring, Lili Simmons]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lili Simmons Context triple: [Bone Tomahawk, starring, Lili Simmons]
-
A.
Lili Simmons
chosen
Lili Simmons is an American actress and model known for her roles in television series such as Banshee, True Detective, and The Purge.
-
B.
Lila Garrett
Lila Garrett was an American television producer, screenwriter, and political activist known for her work on socially conscious TV projects and her outspoken progressive views.
-
C.
Toni Simmons
Toni Simmons is the young, free-spirited woman at the center of the romantic entanglements in the 1969 comedy film "Cactus Flower."
-
D.
Julianne Simms
Julianne Simms is a central character in the television series "Breakout Kings," known for her role as a brilliant but troubled analyst who assists U.S. Marshals in tracking down escaped convicts.
-
E.
Lindy Robbins
Lindy Robbins is an American songwriter known for crafting hit pop songs for major artists across the contemporary music industry.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b376bac48190ae09f29a28c55f8c |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01954069e0819087fab0a782a83f39 |
finalizing | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:24 a.m.