Triple
T18662153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taran |
E456227
|
entity |
| Predicate | roleInTheBlackCauldron |
P132190
|
FINISHED |
| Object | main protagonist |
—
|
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: main protagonist | Statement: [Taran, roleInTheBlackCauldron, main protagonist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInTheBlackCauldron Context triple: [Taran, roleInTheBlackCauldron, main protagonist]
-
A.
roleInTheNightmareBeforeChristmas
Indicates the specific role or character that an entity has in the movie "The Nightmare Before Christmas."
-
B.
roleInTheology
Indicates the specific function, position, or significance an entity holds within a theological system, doctrine, or belief framework.
-
C.
roleInLegendarium
Indicates that one entity serves a particular narrative or functional role within the fictional mythos or legendarium associated with another entity.
-
D.
roleInShrekForeverAfter
Indicates that an entity has a specific acting or production role in the movie "Shrek Forever After."
-
E.
roleInHarryPotter
Indicates that one entity has a specific role or character part within the Harry Potter series in relation to the other entity.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5508b35ec819085c1c4c2c98d6672 |
completed | April 19, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69e478db7a248190a8c6584673773923 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484133ee48190a80f1889d79f34c9 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:48 a.m.