Triple
T37125635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gill-man |
E919382
|
entity |
| Predicate | portrayedByInWater |
P200463
|
FINISHED |
| Object | Ricou Browning |
—
|
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: Ricou Browning | Statement: [Gill-man, portrayedByInWater, Ricou Browning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedByInWater Context triple: [Gill-man, portrayedByInWater, Ricou Browning]
-
A.
portrayedBySpeciesActor
Indicates that an entity is depicted or represented by an actor belonging to a particular species.
-
B.
livesInWaterType
Indicates that an entity inhabits or primarily lives in a specified type or category of water environment.
-
C.
portrayedBySource
Indicates that an entity is depicted or represented by a particular source, such as a specific image, document, or media item.
-
D.
portrayedByWork
Indicates that a work (such as a film, book, or artwork) depicts, represents, or portrays a particular entity.
-
E.
portrayedVia
Indicates that one entity is represented, depicted, or expressed through a particular medium, method, or channel.
- 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_69f76e9d13e48190a108f7fbf80ff375 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff8ba3f8248190bbdf8e7ec2b35093 |
completed | May 9, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69ff8b41ba988190a7332e8317d10f09 |
completed | May 9, 2026, 7:30 p.m. |
| PDg | Predicate description generation | batch_69ff8ba329e08190813e728f0d1bd973 |
completed | May 9, 2026, 7:31 p.m. |
Created at: May 3, 2026, 4:15 p.m.