Triple
T19743386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James G. Robinson |
E474187
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Crush |
—
|
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: The Crush | Statement: [James G. Robinson, notableWork, The Crush]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Crush Context triple: [James G. Robinson, notableWork, The Crush]
-
A.
The Crush
chosen
"The Crush" is a 1993 psychological thriller film about a teenage girl's dangerous obsession with an older man.
-
B.
Crush
Crush is a music album titled "Crush," most likely known as a studio release by the band Lettuce, a group recognized for its funk and soul-influenced sound.
-
C.
Crush
Crush is a coming-of-age romantic comedy film starring Auliʻi Cravalho that centers on queer teenage love and self-discovery.
-
D.
Crush
Crush is the laid-back, surfer-dude sea turtle from Disney-Pixar's "Finding Nemo" known for helping Marlin and Dory navigate the East Australian Current.
-
E.
Crush
Crush is a popular brand of fruit-flavored carbonated soft drinks best known for its orange soda.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65162f0f88190b652fff01ee23090 |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.