Triple
T15673296
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James P. Sullivan |
E377372
|
entity |
| Predicate | roleInMonstersUniversity |
P119710
|
FINISHED |
| Object | co-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: co-protagonist | Statement: [James P. Sullivan, roleInMonstersUniversity, co-protagonist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInMonstersUniversity Context triple: [James P. Sullivan, roleInMonstersUniversity, co-protagonist]
-
A.
roleInMonsterVerse
Indicates that an entity has a specific role or function within the MonsterVerse franchise or universe.
-
B.
roleInShrekForeverAfter
Indicates that an entity has a specific acting or production role in the movie "Shrek Forever After."
-
C.
roleInHorribleBosses
Indicates that an entity has a specific acting role or character appearance in the movie "Horrible Bosses."
-
D.
roleInTheology
Indicates the specific function, position, or significance an entity holds within a theological system, doctrine, or belief framework.
-
E.
universityMascot
Indicates that one entity serves as the official mascot representing a particular university.
- 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_69d85cd2e28481909d4e975bee20872f |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04f2c996c8190a9ebe0e92608feaa |
completed | April 16, 2026, 2:53 a.m. |
| PD | Predicate disambiguation | batch_69deda8b36a4819081cb5708fe77ef51 |
completed | April 15, 2026, 12:23 a.m. |
| PDg | Predicate description generation | batch_69dff7f3016c8190ac68d76e65e07af4 |
completed | April 15, 2026, 8:41 p.m. |
Created at: April 10, 2026, 4:16 a.m.