Triple
T14532736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burt Reynolds |
E340954
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Semi-Tough |
E898046
|
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: Semi-Tough | Statement: [Burt Reynolds, notableWork, Semi-Tough]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Semi-Tough Context triple: [Burt Reynolds, notableWork, Semi-Tough]
-
A.
Semi-Tough
chosen
Semi-Tough is a 1977 sports comedy film that satirizes professional football and 1970s self-help culture, starring Burt Reynolds, Kris Kristofferson, and Jill Clayburgh.
-
B.
Too Tough
Too Tough is a track featured on the hip-hop album "Undercover."
-
C.
The Tough Ones
The Tough Ones is a 1970s Italian poliziottesco crime-action film known for its gritty violence, tough cop antihero, and cult status among Eurocrime cinema fans.
-
D.
Tough Guys
Tough Guys is a 1986 American action-comedy film starring Burt Lancaster and Kirk Douglas as aging gangsters adjusting to life after decades in prison.
-
E.
Grit and Grind
Grit and Grind is the hard-nosed, defense-first identity and era of the Memphis Grizzlies defined by physical play, toughness, and blue-collar resilience.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea053f9bc8190901b9d321811d881 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a56872c8190a6d2421cb81aeeb1 |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.