Triple
T13221921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reaper |
E314775
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Tara Butters |
E809598
|
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: Tara Butters | Statement: [Reaper, executiveProducer, Tara Butters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tara Butters Context triple: [Reaper, executiveProducer, Tara Butters]
-
A.
Tara Butters
chosen
Tara Butters is an American television writer and producer known for her work on genre series such as Marvel's Agent Carter and Kevin (Probably) Saves the World.
-
B.
Tara Brooks
Tara Brooks is a character in Marvel Comics best known as the human mother of the vampire hunter Blade.
-
C.
Ashley Butler
Ashley Butler is the sister of American actor Austin Butler, known for maintaining a relatively private life outside of her brother’s Hollywood career.
-
D.
Tara Carpenter
Tara Carpenter is a central protagonist in the recent Scream film series, known as Sam Carpenter’s younger sister and a resilient survivor of the Ghostface killings.
-
E.
Emily Miles
Emily Miles is a British civil servant who serves as the Chief Executive of the UK’s Food Standards Agency, overseeing food safety and public health regulation.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98cf74d708190a61d8ad938653b06 |
completed | April 10, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a3407388190bef886884cb75912 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:18 p.m.