Triple
T9342604
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toho |
E224796
|
entity |
| Predicate | roleInMonsterVerse |
P87625
|
FINISHED |
| Object | rights licensor for Godzilla |
—
|
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: rights licensor for Godzilla | Statement: [Toho, roleInMonsterVerse, rights licensor for Godzilla]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInMonsterVerse Context triple: [Toho, roleInMonsterVerse, rights licensor for Godzilla]
-
A.
roleInGigantomachy
Indicates the specific part or function an entity played in the mythological conflict known as the Gigantomachy.
-
B.
roleInHorribleBosses
Indicates that an entity has a specific acting role or character appearance in the movie "Horrible Bosses."
-
C.
roleInBladeII
Indicates that an entity has a specific role or participation in the movie "Blade II."
-
D.
roleInTheology
Indicates the specific function, position, or significance an entity holds within a theological system, doctrine, or belief framework.
-
E.
roleInWakandaForever
Indicates that an entity had a role or participation in the production of the film "Black Panther: Wakanda Forever."
- 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_69ca842993248190a79ab06968994b86 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd4bb11cd08190b159a6066dd0ebf1 |
completed | April 1, 2026, 4:45 p.m. |
| PD | Predicate disambiguation | batch_69cc7a66aef08190b8d668cff5b04f5f |
completed | April 1, 2026, 1:52 a.m. |
| PDg | Predicate description generation | batch_69cc94b796788190816b71b1e9996288 |
completed | April 1, 2026, 3:44 a.m. |
Created at: March 30, 2026, 7:40 p.m.