Triple
T14308347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stacy Keach |
E354754
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Fat City |
E299357
|
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: Fat City | Statement: [Stacy Keach, notableWork, Fat City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fat City Context triple: [Stacy Keach, notableWork, Fat City]
-
A.
Fat City
chosen
Fat City is a 1972 American neo-noir boxing drama film known for its gritty realism and downbeat portrayal of small-time fighters, directed by John Huston.
-
B.
Fat City
Fat City is a 1992 folk-pop album by American singer-songwriter Shawn Colvin, featuring introspective songwriting and rich acoustic arrangements.
-
C.
Sugar City
Sugar City is the nickname of Victorias, a city in the Philippines renowned for its large sugar industry and sugarcane plantations.
-
D.
Sweetheart City
Sweetheart City is a romantic nickname for Loveland, Colorado, known for its Valentine’s Day traditions and heart-themed celebrations.
-
E.
Boomtown
"Boomtown" is a song featured on the bluegrass album "Tell the Ones I Love" by the Steep Canyon Rangers.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b26da48190a96e2f60ace51335 |
completed | April 14, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d2e2444819090252684673ff3df |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:12 a.m.