Triple
T23180521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | You'll Think of Me |
E579446
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Chips Moman |
—
|
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: Chips Moman | Statement: [You'll Think of Me, associatedAct, Chips Moman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chips Moman Context triple: [You'll Think of Me, associatedAct, Chips Moman]
-
A.
Chips Moman
chosen
Chips Moman was an influential American record producer, songwriter, and studio owner known for shaping the sound of soul, country, and rock music in the 1960s and 1970s.
-
B.
Roger Donley
Roger Donley is a film editor known for his work on the animated feature "Snoopy, Come Home."
-
C.
Michael Kelso
Michael Kelso is a dim-witted yet charming and good-looking teenager portrayed by Ashton Kutcher on the sitcom "That '70s Show."
-
D.
Chips Rafferty
Chips Rafferty was a prominent Australian actor known for his rugged, laconic screen persona and key roles in mid-20th-century Australian cinema.
-
E.
Marcello Thedford
Marcello Thedford is an American actor known for his supporting roles in film and television, often appearing in comedies and dramas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f6ebff48190ad1543051ca0239b |
completed | April 29, 2026, 4:56 a.m. |
Created at: April 17, 2026, 4:04 p.m.