Triple
T16652105
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | What It Takes |
E404630
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Desmond Child |
E217074
|
NE 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: Desmond Child | Statement: [What It Takes, writer, Desmond Child]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Desmond Child Context triple: [What It Takes, writer, Desmond Child]
-
A.
Desmond Child
chosen
Desmond Child is an American songwriter and producer renowned for crafting numerous rock and pop hits for artists like Bon Jovi, Aerosmith, and Ricky Martin.
-
B.
Lee Eastman
Lee Eastman was an American entertainment lawyer best known for representing and advising Paul McCartney and other prominent musicians.
-
C.
Ashley Gorley
Ashley Gorley is a prolific American country music songwriter and producer known for penning numerous chart-topping hits for major Nashville artists.
-
D.
Ken Hood
Ken Hood is the protagonist of the film "Welcome to L.A.," around whom the story’s interpersonal and emotional dynamics revolve.
-
E.
Louis Mellis
Louis Mellis is a British screenwriter best known for co-writing the acclaimed crime film "Sexy Beast."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37bf7ae7c81908b6807acd8f1669b |
completed | April 18, 2026, 12:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d2f7ad88190ba85a79154502841 |
completed | May 10, 2026, 2:58 p.m. |
Created at: April 10, 2026, 5:18 a.m.