Triple
T13610085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | "I'll Be There for You" |
E325164
|
entity |
| Predicate | lyricist |
P1360
|
FINISHED |
| Object | Allee Willis |
E713242
|
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: Allee Willis | Statement: ["I'll Be There for You", lyricist, Allee Willis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Allee Willis Context triple: ["I'll Be There for You", lyricist, Allee Willis]
-
A.
Allee Willis
chosen
Allee Willis was an American songwriter and multimedia artist best known for co-writing hit songs such as Earth, Wind & Fire’s “September” and the theme for the TV show *Friends*.
-
B.
Karen Willis
Karen Willis is known as the wife of Victor Willis, the original lead singer and lyricist of the Village People.
-
C.
Olive Willis
Olive Willis was a British educator best known for establishing and leading Downe House School, a prominent girls’ boarding school in England.
-
D.
Lee Everett
Lee Everett is the compassionate yet troubled former history professor who serves as the central playable protagonist in Telltale Games’ first season of The Walking Dead.
-
E.
Willis Bouchey
Willis Bouchey was an American character actor known for his prolific work in mid-20th-century film and television, often appearing in Westerns and dramas.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb0aa9a1481908c6f92495aff86c6 |
completed | April 12, 2026, 2:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f77f98286c8190a866b5edc21f1225 |
completed | May 3, 2026, 5:02 p.m. |
Created at: April 9, 2026, 9:50 p.m.