Triple
T37125636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gill-man |
E919382
|
entity |
| Predicate | portrayedByOnLand |
P200463
|
FINISHED |
| Object | Ben Chapman |
E919380
|
NE 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: Ben Chapman | Statement: [Gill-man, portrayedByOnLand, Ben Chapman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portrayedByOnLand Context triple: [Gill-man, portrayedByOnLand, Ben Chapman]
-
A.
portrayedBy
Indicates that one entity serves as the actor or performer who represents or plays the role of another entity in a work or medium.
-
B.
portrayedByBirthPlace
Indicates that the person who portrays a role or character was born in a specified place.
-
C.
portrayedVia
Indicates that one entity is represented, depicted, or expressed through a particular medium, method, or channel.
-
D.
portrayedByInWater
chosen
Indicates that an entity is depicted or represented by another entity specifically in a water-based context or medium.
-
E.
portrayedBySource
Indicates that an entity is depicted or represented by a particular source, such as a specific image, document, or media item.
- F. None of above.
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_69ff8cecbf048190860b9f72b8753f5c |
completed | May 9, 2026, 7:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a403603b4808190b0ea8cf6c60e0146 |
completed | June 27, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69ff8c4c39dc8190b5bf35adc1bae7c6 |
completed | May 9, 2026, 7:34 p.m. |
Created at: May 3, 2026, 4:15 p.m.