Triple
T16877606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gloria |
E421337
|
entity |
| Predicate | hasCallSignificance |
P124822
|
FINISHED |
| Object | spelling of the name "Gloria" in chorus |
—
|
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: spelling of the name "Gloria" in chorus | Statement: [Gloria, hasCallSignificance, spelling of the name "Gloria" in chorus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCallSignificance Context triple: [Gloria, hasCallSignificance, spelling of the name "Gloria" in chorus]
-
A.
hasSignificant
Indicates that one entity possesses or exhibits a level of importance, impact, or relevance that is notably large or meaningful in relation to another entity or context.
-
B.
hasTransportSignificance
Indicates that something plays an important role or has notable relevance within a transportation or transit context.
-
C.
hasParticularSignificanceFor
Indicates that something holds a special, notable, or contextually important relevance or impact for a particular entity or situation.
-
D.
hasSign
Indicates that an entity possesses, displays, or is associated with a particular sign or symbol.
-
E.
hasPlotSignificance
Indicates that an element (such as a character, event, or object) plays an important role in advancing or shaping the plot.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f8a1d48190ad829f86e235a1d0 |
completed | April 18, 2026, 4:57 p.m. |
| PD | Predicate disambiguation | batch_69e32b90ec3c819099c51bb7baf2984c |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e32e2c07b081908c8fee9f5507bb9e |
completed | April 18, 2026, 7:09 a.m. |
Created at: April 10, 2026, 5:29 a.m.