Triple
T9330142
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burgess Meredith |
E224496
|
entity |
| Predicate | portrays |
P264
|
FINISHED |
| Object | Hank Taylor |
E224495
|
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: Hank Taylor | Statement: [Burgess Meredith, portrays, Hank Taylor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hank Taylor Context triple: [Burgess Meredith, portrays, Hank Taylor]
-
A.
Hank Taylor
chosen
Hank Taylor is the central character in the 1940 musical film "Second Chorus," around whom the story’s romantic and big-band jazz antics revolve.
-
B.
John Kimble
John Kimble is a tough undercover police detective who poses as a kindergarten teacher in the comedy film "Kindergarten Cop."
-
C.
Yancy Becket
Yancy Becket is a Jaeger pilot from the Pacific Rim universe, known as the older brother and co-pilot of protagonist Raleigh Becket.
-
D.
Squire Cass
Squire Cass is a wealthy, domineering landowner and the most prominent man in the village of Raveloe in George Eliot’s novel "Silas Marner."
-
E.
Marty Fogg
Marty Fogg is a musician and composer known for creating the music for the song "I'm Still Here."
- 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_69ca8427a0c08190b749831d5ea98f02 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd37acbc04819092a67d7f392c74cd |
completed | April 1, 2026, 3:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e3c30ba88190b192621928136b87 |
completed | April 4, 2026, 10:11 a.m. |
Created at: March 30, 2026, 7:39 p.m.