Triple
T7288073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lean on Me |
E163924
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Robert Guillaume |
E452222
|
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: Robert Guillaume | Statement: [Lean on Me, starring, Robert Guillaume]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Guillaume Context triple: [Lean on Me, starring, Robert Guillaume]
-
A.
Robert Guillaume
chosen
Robert Guillaume was an Emmy-winning American actor best known for his roles on the television series "Soap" and its spin-off "Benson," as well as voicing Rafiki in Disney's "The Lion King."
-
B.
Michael Paré
Michael Paré is an American actor best known for his roles in 1980s and 1990s films such as "Eddie and the Cruisers" and "Streets of Fire."
-
C.
Roger Devereau
Roger Devereau is the central protagonist of the comedy-thriller film "Silver Streak," around whom the movie’s train-bound mystery and adventure revolve.
-
D.
Luc Durand
Luc Durand is a Canadian architect best known for designing the iconic Habitat 67 housing complex in Montreal.
-
E.
Franck Leroy
Franck Leroy is a French politician known for serving as the mayor of Épernay, a commune in the Marne department of northeastern France.
- 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_69c6886093b88190a254b1ce6db8bae7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6eb6a73fc8190ae5ce81fd3e46d87 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7db42c8d48190a548c4242b07fb40 |
completed | March 28, 2026, 1:44 p.m. |
Created at: March 27, 2026, 2:59 p.m.