Triple
T15386145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen "Dr." Love |
E367919
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Dr. Love |
E367919
|
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: Dr. Love | Statement: [Stephen "Dr." Love, hasNickname, Dr. Love]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dr. Love Context triple: [Stephen "Dr." Love, hasNickname, Dr. Love]
-
A.
Dr. Happiness
Dr. Happiness is the nickname of Ed Diener, a pioneering psychologist renowned for his research on subjective well-being and happiness.
-
B.
Stephen "Dr." Love
chosen
Stephen "Dr." Love is a film producer best known for his work on the sci-fi mystery comedy film "They Cloned Tyrone."
-
C.
Dr. Madden
Dr. Madden is the psychiatrist in the rock musical "Next to Normal," who treats Diana Goodman and represents the medical approach to her mental illness.
-
D.
Dr. Favor
Dr. Favor is a character from the 1953 Western film "Hondo," serving as a frontier doctor in the story.
-
E.
Dr. Rock
Dr. Rock is a character in the film "Salvador," serving as a companion and foil to journalist Richard Boyle amid the chaos of the Salvadoran civil war.
- 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_69d85a1551a08190ba2caea7cd51c639 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e74ff70819094c1a85f51d6e228 |
completed | April 16, 2026, 1:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff1349bad48190a31c50a0c5104128 |
completed | May 9, 2026, 10:58 a.m. |
Created at: April 10, 2026, 3:19 a.m.