Triple
T37080635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brandy Halladay |
E918134
|
entity |
| Predicate | roleAfterSpouseDeath |
P134697
|
FINISHED |
| Object | preserver of Roy Halladay’s legacy |
—
|
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: preserver of Roy Halladay’s legacy | Statement: [Brandy Halladay, roleAfterSpouseDeath, preserver of Roy Halladay’s legacy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleAfterSpouseDeath Context triple: [Brandy Halladay, roleAfterSpouseDeath, preserver of Roy Halladay’s legacy]
-
A.
afterHusbandDeathRole
chosen
Indicates the role or status a person assumes after the death of their husband.
-
B.
spouseStatusAfterDeath
Indicates the marital status or spousal relationship of a person after the death of their spouse.
-
C.
spouseDeath
Indicates that one person's spouse has died, marking the event of the spouse's death in relation to that person.
-
D.
residenceAfterHusbandDeath
Indicates the place where a person resides following the death of their husband.
-
E.
styleAfterHusbandDeath
Indicates that an entity adopts or changes its style in response to, or following, the death of its husband.
- 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_69f76e9952b88190a6fe01ba01476520 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fba78aca4c8190b8f1831e8cc04e06 |
completed | May 6, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fba34a65a4819088bac6c17542d71c |
completed | May 6, 2026, 8:23 p.m. |
Created at: May 3, 2026, 4:14 p.m.