Triple
T28664672
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zihuatanejo (in film ending) |
E725555
|
entity |
| Predicate | representsForRed |
P192286
|
FINISHED |
| Object | overcoming institutionalization |
—
|
LITERAL 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: overcoming institutionalization | Statement: [Zihuatanejo (in film ending), representsForRed, overcoming institutionalization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsForRed Context triple: [Zihuatanejo (in film ending), representsForRed, overcoming institutionalization]
-
A.
guaranteeRepresentedByRed
Indicates that a guarantee is visually or symbolically represented using the color red.
-
B.
representsForAndy
Indicates that one entity serves as a representative or acts on behalf of Andy in some context or capacity.
-
C.
representedFor
Indicates that one entity has acted or served as the official representative or proxy on behalf of another entity.
-
D.
reducedRepresentationOf
Indicates that one entity is a simplified, compressed, or lower-detail version of another entity while preserving its essential information or structure.
-
E.
representsForCharacters
Indicates that one entity performs a representation or advocacy role on behalf of specific characters.
- 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_69f01d85be388190b669a0e401e2f2c4 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
| PDg | Predicate description generation | batch_69fd05b965608190a3666410b9f8e125 |
completed | May 7, 2026, 9:35 p.m. |
Created at: April 28, 2026, 5 a.m.