Triple
T8621209
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christa McAuliffe Middle School |
E204167
|
entity |
| Predicate | hasNamesakeDateOfDeath |
P20
|
FINISHED |
| Object | 1986-01-28 |
—
|
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: 1986-01-28 | Statement: [Christa McAuliffe Middle School, hasNamesakeDateOfDeath, 1986-01-28]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNamesakeDateOfDeath Context triple: [Christa McAuliffe Middle School, hasNamesakeDateOfDeath, 1986-01-28]
-
A.
dateOfDeath
chosen
Indicates the specific date on which an individual or entity died.
-
B.
hasEponymCauseOfDeath
Indicates that an entity’s cause of death is named after (or eponymously derived from) a particular person or entity.
-
C.
yearOfDeath
Indicates the specific year in which an entity (typically a person or organism) died.
-
D.
notableBearerDeathYear
Indicates the year in which a notable bearer of the referenced name, title, or role died.
-
E.
diedInSameYearAs
Indicates that two entities each died in the same calendar year.
- 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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc5730309081909a9a0256c9bf5f8f |
completed | March 31, 2026, 11:22 p.m. |
| PD | Predicate disambiguation | batch_69cc455906f8819082edd79cb4a1cf28 |
completed | March 31, 2026, 10:06 p.m. |
Created at: March 30, 2026, 6:26 p.m.