Triple
T30650626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | On the Town (Broadway revival) |
E780245
|
entity |
| Predicate | hasOriginalBookWriter |
P23529
|
FINISHED |
| Object | Betty Comden |
—
|
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: Betty Comden | Statement: [On the Town (Broadway revival), hasOriginalBookWriter, Betty Comden]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalBookWriter Context triple: [On the Town (Broadway revival), hasOriginalBookWriter, Betty Comden]
-
A.
hasOriginalLyricist
Indicates that an entity (such as a musical or song) is associated with the person who first wrote its lyrics.
-
B.
actuallyWrittenBy
Indicates that the specified work was in fact authored by the given entity, possibly correcting or overriding a previously assumed or credited author.
-
C.
wasWrittenBy
Indicates that a text, document, or work is authored or created by a particular entity.
-
D.
hasOriginalStory
Indicates that one entity serves as the original narrative source or story upon which the other entity is based or derived.
-
E.
originAuthor
chosen
Indicates that an entity is the original creator or author of another entity (such as a work, document, or idea).
- 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_69f224a5d2b481908a6853cd0138e2d7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fd19f791f48190bbb6f6047f9ddc59 |
completed | May 7, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69fd0df365948190bc9bfc7ffd46acd8 |
completed | May 7, 2026, 10:10 p.m. |
Created at: April 29, 2026, 8:30 p.m.