Triple
T37331493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stage Manager (Our Town) |
E926762
|
entity |
| Predicate | reflectsOnMortality |
P187736
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Stage Manager (Our Town), reflectsOnMortality, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reflectsOnMortality Context triple: [Stage Manager (Our Town), reflectsOnMortality, true]
-
A.
associatedWithMortal
Indicates a relationship where an entity is connected or linked in some way to a mortal being (a being subject to death).
-
B.
mortalStatus
Indicates the state or condition of an entity with respect to being mortal, immortal, or otherwise subject to death.
-
C.
realizationBeforeDeath
Indicates that a significant understanding, insight, or fulfillment occurs prior to an entity’s death.
-
D.
deathIsWitnessedBy
Indicates that the occurrence of a death is directly observed or witnessed by another entity.
-
E.
containsDeathOf
Indicates that the subject includes, depicts, or involves the death of the referenced entity.
- 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_69f76eb386d88190a8d511aa11540dfc |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8c38a9688190be524246f5682107 |
completed | May 6, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9c6e0481908565bd849e869b24 |
completed | May 6, 2026, 3:13 p.m. |
| PDg | Predicate description generation | batch_69fb8c37931c81909da038c18ed9add2 |
completed | May 6, 2026, 6:45 p.m. |
Created at: May 3, 2026, 4:16 p.m.