Triple
T33529650
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trail of the Pink Panther |
E858737
|
entity |
| Predicate | usesOuttakesFrom |
P177073
|
FINISHED |
| Object | The Pink Panther Strikes Again |
—
|
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 Pink Panther Strikes Again | Statement: [Trail of the Pink Panther, usesOuttakesFrom, The Pink Panther Strikes Again]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesOuttakesFrom Context triple: [Trail of the Pink Panther, usesOuttakesFrom, The Pink Panther Strikes Again]
-
A.
usesPhotographyFrom
Indicates that one entity employs or incorporates photographic material originating from another entity.
-
B.
usesStills
Indicates that one entity employs or incorporates still images or photographs as part of its content, process, or representation.
-
C.
numberOfImagesTaken
Indicates the quantity of images that have been captured or recorded in relation to a given subject or event.
-
D.
hasPhotographs
Indicates that one entity possesses, contains, or is associated with one or more photographs of another entity or subject.
-
E.
shotFrom
Indicates that something is propelled or discharged starting at a particular source or origin.
- F. None of above. chosen
Provenance (4 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_69f34978caf4819083f90eba4944d8e8 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f85ca7c0819098069384b0d1ca6a |
completed | May 3, 2026, 7:25 a.m. |
| PD | Predicate disambiguation | batch_69f6f6619404819084662aef1238261c |
completed | May 3, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69f6f814fcf48190ae4504154d1b2c05 |
completed | May 3, 2026, 7:24 a.m. |
Created at: May 1, 2026, 1:39 a.m.