Triple
T6492761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tom Noonan |
E148080
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Heat |
E174842
|
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: Heat | Statement: [Tom Noonan, notableWork, Heat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Heat Context triple: [Tom Noonan, notableWork, Heat]
-
A.
Heat
chosen
Heat is a 1995 crime thriller film directed by Michael Mann, renowned for its intense heist sequences and the iconic pairing of Al Pacino and Robert De Niro.
-
B.
Heat
Heat is a chapter or section within the novel "Like Water for Chocolate" that focuses on themes of passion, desire, and emotional intensity.
-
C.
Heat Above
"Heat Above" is a soaring, retro-inspired rock song by American band Greta Van Fleet, known for its lush instrumentation and Led Zeppelin–evoking vocals.
-
D.
Hot
"Hot" is a popular trap song by American rapper Young Thug, known for its brass-heavy production and memorable hook.
-
E.
Heat Waves
"Heat Waves" is a hit song by the English indie rock band Glass Animals, known for its mellow, atmospheric sound and widespread chart success.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06ab6abbc8190a4971ad5a654b0cd |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653bf5c30819083e4e5484b2bd8cc |
completed | March 27, 2026, 9:54 a.m. |
Created at: March 22, 2026, 4:53 p.m.