Triple
T28964513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Orson |
E731999
|
entity |
| Predicate | usedInCreditFor |
P156192
|
FINISHED |
| Object | "Don't Go Breaking My Heart" |
—
|
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: "Don't Go Breaking My Heart" | Statement: [Ann Orson, usedInCreditFor, "Don't Go Breaking My Heart"]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedInCreditFor Context triple: [Ann Orson, usedInCreditFor, "Don't Go Breaking My Heart"]
-
A.
usedAsCreditOn
chosen
Indicates that something is acknowledged or listed as a credit on something else, such as in an attribution, acknowledgment, or contributor listing.
-
B.
creditsUse
Indicates that one entity uses or relies on credits (such as credit units, credit lines, or credit-based resources) provided or available to it.
-
C.
includesCreditTo
Indicates that one entity explicitly acknowledges or attributes credit to another entity, typically for contribution, authorship, or source.
-
D.
usedFor
Indicates that one entity serves a purpose, function, or role in accomplishing, enabling, or supporting another entity or activity.
-
E.
grantsCreditFor
Indicates that one entity recognizes or awards academic or other formal credit to another entity for a specific activity, course, or achievement.
- 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_69f043ee242c8190b063248b417c5a69 |
completed | April 28, 2026, 5:21 a.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: April 28, 2026, 8:51 a.m.