Triple
T18527661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warbound |
E452759
|
entity |
| Predicate | relationshipToHulk |
P132013
|
FINISHED |
| Object | sworn to stand by Hulk in war and peace |
—
|
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: sworn to stand by Hulk in war and peace | Statement: [Warbound, relationshipToHulk, sworn to stand by Hulk in war and peace]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToHulk Context triple: [Warbound, relationshipToHulk, sworn to stand by Hulk in war and peace]
-
A.
relationshipToMarvelUniverse
Indicates the nature or type of connection an entity has to the Marvel universe, such as affiliation, role, or relevance within that fictional setting.
-
B.
relationshipToTheDude
Indicates the specific type of personal or social relationship that one entity has to the individual referred to as "the Dude."
-
C.
relationshipToTony
Indicates the specific type of relationship or connection that an entity has with Tony.
-
D.
relationshipToHenry
Indicates the specific type of relationship or connection that an entity has to Henry.
-
E.
relationshipToVigilantes
Indicates the nature or type of connection an entity has with vigilantes, such as affiliation, opposition, support, or other relational stance.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533f9bd1081909743b24e290b7dfe |
completed | April 19, 2026, 7:58 p.m. |
| PD | Predicate disambiguation | batch_69e469e0025c81908f16ed4f922674af |
completed | April 19, 2026, 5:36 a.m. |
| PDg | Predicate description generation | batch_69e46d2b93bc8190a6070018d7046547 |
completed | April 19, 2026, 5:50 a.m. |
Created at: April 10, 2026, 11:37 a.m.