Triple
T375968
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greatest Love of All |
E8373
|
entity |
| Predicate | WhitneyHoustonVersion.instanceOf |
P13089
|
FINISHED |
| Object | single |
—
|
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: single | Statement: [Greatest Love of All, WhitneyHoustonVersion.instanceOf, single]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: WhitneyHoustonVersion.instanceOf Context triple: [Greatest Love of All, WhitneyHoustonVersion.instanceOf, single]
-
A.
isSignatureSongOf
Indicates that a particular song is widely recognized as the most iconic or defining song associated with a specific artist or group.
-
B.
hasSignatureSong
Indicates that an artist or performer is especially associated with a particular song that is widely recognized as their defining or most iconic work.
-
C.
hasBand
Indicates that an entity is associated with or includes a particular band (e.g., musical group or band-like unit).
-
D.
usesInstrument
Indicates that an agent performs an action by employing a specific instrument or tool as the means to carry it out.
-
E.
hasArtist
Indicates that an entity (such as a work or item) is associated with or created by a specific artist.
- 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec169a848190a577aa093c878839 |
completed | Feb. 28, 2026, 1:22 p.m. |
| PD | Predicate disambiguation | batch_69a2e96216048190873ae533fa5b864d |
completed | Feb. 28, 2026, 1:10 p.m. |
| PDg | Predicate description generation | batch_69a2ebcb1b2c8190a68bb3bad600c227 |
completed | Feb. 28, 2026, 1:21 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.