Triple
T21713149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Morgan Philip |
E535953
|
entity |
| Predicate | appearsAlongside |
P25756
|
FINISHED |
| Object | Robert Philip |
—
|
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: Robert Philip | Statement: [Morgan Philip, appearsAlongside, Robert Philip]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Philip Context triple: [Morgan Philip, appearsAlongside, Robert Philip]
-
A.
Robert Philip
chosen
Robert Philip is a central character in Disney's film "Enchanted," a pragmatic New York City divorce lawyer who becomes the love interest of the fairy-tale princess Giselle.
-
B.
Jonathan Roberts
Jonathan Roberts is an American screenwriter best known for co-writing Disney’s animated classic "The Lion King."
-
C.
Jonathan Roberts
Jonathan Roberts is a professional ballroom dancer best known for his appearances as a pro on the television show "Dancing with the Stars."
-
D.
Jonathan Roberts
Jonathan Roberts is a creator known for his work on the project or character "Scar."
-
E.
Mark Ralph
Mark Ralph is a British record producer and mixer known for his work with prominent pop and electronic artists such as Years & Years, Clean Bandit, and Hot Chip.
- 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb53573a08190ad73576d27e8094f |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:47 p.m.