Triple
T25240696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hershel Rhee |
E632456
|
entity |
| Predicate | canonicalDeathOfFather |
P158062
|
FINISHED |
| Object | Negan kills Glenn Rhee |
—
|
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: Negan kills Glenn Rhee | Statement: [Hershel Rhee, canonicalDeathOfFather, Negan kills Glenn Rhee]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canonicalDeathOfFather Context triple: [Hershel Rhee, canonicalDeathOfFather, Negan kills Glenn Rhee]
-
A.
fatherDiedAt
Indicates that the specified person's father died at a particular time, place, or under certain circumstances.
-
B.
containsDeathOf
Indicates that the subject includes, depicts, or involves the death of the referenced entity.
-
C.
motherDeath
Indicates that the mother of the referenced individual has died.
-
D.
fatherReactionToDeath
Indicates the emotional or behavioral response of a father to the death of someone (typically a close relation).
-
E.
fatherWas
Indicates that one entity was the male parent (father) of another entity in the past.
- 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_69e75a8ec5f88190b9eba06ae42b413a |
completed | April 21, 2026, 11:07 a.m. |
| NER | Named-entity recognition | batch_69f47dfe32488190b3d19a3196b51c68 |
completed | May 1, 2026, 10:18 a.m. |
| PD | Predicate disambiguation | batch_69f44d849e7c81909945438f40e35362 |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 21, 2026, 1:07 p.m.