Triple
T37704157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Hard Townes Award |
E939153
|
entity |
| Predicate | presenterCurrentName |
P1213
|
FINISHED |
| Object | Optica |
—
|
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: Optica | Statement: [Charles Hard Townes Award, presenterCurrentName, Optica]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: presenterCurrentName Context triple: [Charles Hard Townes Award, presenterCurrentName, Optica]
-
A.
presenterField
Indicates that an entity serves as the presenter or speaker associated with a particular field, session, or content item.
-
B.
mainPerformerCurrentName
Indicates that the referenced name is the current official or primary name of the main performer associated with an event or work.
-
C.
currentName
chosen
Indicates the present or most recently assigned name associated with an entity.
-
D.
presenterAbbreviation
Indicates that one entity is an abbreviation or shortened form used to refer to a presenter in the context of a presentation or event.
-
E.
winnerCurrentName
Indicates that the referenced entity is the current official name of a winner (e.g., of a contest, award, or competition).
- 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_69f76edb49dc8190b951dce9ce6ef789 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fda94697c4819081291967202248be |
completed | May 8, 2026, 9:13 a.m. |
| PD | Predicate disambiguation | batch_69fda5973fcc8190a57daef31fb70a49 |
completed | May 8, 2026, 8:57 a.m. |
Created at: May 3, 2026, 4:18 p.m.