Triple
T20820496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of M |
E512559
|
entity |
| Predicate | involvesCharacterStatusChange |
P107352
|
FINISHED |
| Object | Hawkeye returns from the dead |
—
|
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: Hawkeye returns from the dead | Statement: [House of M, involvesCharacterStatusChange, Hawkeye returns from the dead]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: involvesCharacterStatusChange Context triple: [House of M, involvesCharacterStatusChange, Hawkeye returns from the dead]
-
A.
marksStatusChangeForCharacter
chosen
Indicates a point or event that signifies a change in a character’s status or state within a system or narrative.
-
B.
statusChange
Indicates a transition in an entity’s state or condition from one status to another over time.
-
C.
leadCharacterStatus
Indicates the role or condition of an entity when it serves as the primary or central character in a narrative or context.
-
D.
legalStatusChangedIn
Indicates that an entity’s legal status was altered or reclassified within a specified jurisdiction, context, or time frame.
-
E.
legalStatusAfterEvent
Indicates the legal condition or classification an entity has as a result of a specified event or occurrence.
- F. None of above.
Provenance (3 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_69e0b4ce39108190a6e8e5df4f1c8dc5 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f6a65481909a0df78616e185e4 |
completed | April 21, 2026, 12:21 a.m. |
| PD | Predicate disambiguation | batch_69e5c99ca55481908e8d434fa901cfd6 |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 16, 2026, 12:41 p.m.