Triple
T23540895
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daniel Licht |
E577742
|
entity |
| Predicate | composedFor |
P30143
|
FINISHED |
| Object | Thinner |
—
|
NE NERFINISHED |
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: Thinner | Statement: [Daniel Licht, composedFor, Thinner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thinner Context triple: [Daniel Licht, composedFor, Thinner]
-
A.
Thinner
chosen
Thinner is a 1996 horror film based on Stephen King’s novel of the same name, following a cursed lawyer who rapidly and uncontrollably loses weight after a hit-and-run accident.
-
B.
Thinner (novel)
Thinner (novel) is a 1984 horror book by Stephen King (writing as Richard Bachman) about an obese lawyer cursed to rapidly lose weight after a hit-and-run accident.
-
C.
Thick & Thin
"Thick & Thin" is a song featured on the album "Unrequited."
-
D.
Thins
Thins is a Dutch family name historically associated with Maria Thins, the wealthy Delft patron and mother-in-law of painter Johannes Vermeer.
-
E.
Fat Lip
"Fat Lip" is a 2001 breakout single by Canadian rock band Sum 41 that blends pop-punk and rap elements and became one of their most recognizable hits.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245f9d5d08190a4a20004e1784e20 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f1ae1b3a8c8190b5b6a58f0476c5d2 |
completed | April 29, 2026, 7:07 a.m. |
Created at: April 17, 2026, 6:10 p.m.