Triple
T29283364
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2018 Nashville Waffle House shooting |
E742440
|
entity |
| Predicate | hasHeroicResponder |
P181325
|
FINISHED |
| Object | James Shaw Jr. |
—
|
NE NERFINISHED |
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: James Shaw Jr. | Statement: [2018 Nashville Waffle House shooting, hasHeroicResponder, James Shaw Jr.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHeroicResponder Context triple: [2018 Nashville Waffle House shooting, hasHeroicResponder, James Shaw Jr.]
-
A.
heroicStatus
Indicates that an entity possesses qualities or recognition associated with being a hero, such as bravery, selflessness, or notable heroic deeds.
-
B.
hasHeroicFortress
Indicates that an entity possesses or is associated with a fortress characterized by heroic qualities, status, or significance.
-
C.
hasRescueTeamCharacter
Indicates that an entity includes or is associated with a character who is part of a rescue team.
-
D.
hasHeroTeam
Indicates a relationship where an entity is associated with or supported by a specific team of heroes.
-
E.
hasHeroicTheme
Indicates that something (such as a work, scene, or motif) embodies or prominently features a heroic theme or quality.
- 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_69f09121ed8c8190b4cb27be3619c262 |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f7688dd3d08190ad13d0e780570a1c |
completed | May 3, 2026, 3:23 p.m. |
| PD | Predicate disambiguation | batch_69f767fcf2f881908bacc7bfc38e68a5 |
completed | May 3, 2026, 3:21 p.m. |
| PDg | Predicate description generation | batch_69f7688cea58819098bdfd7c80df7634 |
completed | May 3, 2026, 3:23 p.m. |
Created at: April 28, 2026, 12:56 p.m.