Triple
T10368801
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dave Gibbons |
E244320
|
entity |
| Predicate | roleInWatchmen |
P93613
|
FINISHED |
| Object | penciller |
—
|
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: penciller | Statement: [Dave Gibbons, roleInWatchmen, penciller]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInWatchmen Context triple: [Dave Gibbons, roleInWatchmen, penciller]
-
A.
roleInMonsterVerse
Indicates that an entity has a specific role or function within the MonsterVerse franchise or universe.
-
B.
roleInCitadel
Indicates the specific function, position, or responsibility an entity holds within a citadel or fortified complex.
-
C.
roleInWakandaForever
Indicates that an entity had a role or participation in the production of the film "Black Panther: Wakanda Forever."
-
D.
roleInWakanda
Indicates the specific function, position, or duty an entity holds within the context or society of Wakanda.
-
E.
antagonistOccupation
Indicates the role, job, or professional activity that the antagonist character performs.
- 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_69d381b3e328819094b23b8edcd29b5a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4e9725fa08190816bedf0acefbc2a |
completed | April 7, 2026, 11:24 a.m. |
| PD | Predicate disambiguation | batch_69d4dface5508190a7b42f01ad0a19a2 |
completed | April 7, 2026, 10:42 a.m. |
| PDg | Predicate description generation | batch_69d4e944fac4819093b0312aa0efd729 |
completed | April 7, 2026, 11:23 a.m. |
Created at: April 6, 2026, 12:01 p.m.