Triple
T2770962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Blood |
E61453
|
entity |
| Predicate | themeSongPerformer |
P9648
|
FINISHED |
| Object | Dan Hill |
E146641
|
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: Dan Hill | Statement: [First Blood, themeSongPerformer, Dan Hill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dan Hill Context triple: [First Blood, themeSongPerformer, Dan Hill]
-
A.
Kim Carnes
Kim Carnes is an American singer-songwriter best known for her raspy voice and the 1981 hit single "Bette Davis Eyes."
-
B.
Kenny Loggins
Kenny Loggins is an American singer-songwriter best known for his soft rock hits and iconic 1980s movie soundtrack songs such as "Footloose" and "Danger Zone."
-
C.
Peabo Bryson
chosen
Peabo Bryson is an American R&B and soul singer best known for his powerful ballads and duets, including several hit Disney movie theme songs.
-
D.
Laura Branigan
Laura Branigan was an American pop singer and actress best known for her powerful vocals and 1980s hits such as "Gloria" and "Self Control."
-
E.
Ray Conniff
Ray Conniff was an American bandleader, arranger, and trombonist best known for his easy-listening orchestral and choral recordings that gained wide popularity in the mid-20th century.
- 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_69ab4b7cd13481909174bca9809ed259 |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd6a23208190ba94c9a9f601a042 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc05061808190abe709eff7a8c986 |
completed | March 10, 2026, 6:55 a.m. |
Created at: March 6, 2026, 9:57 p.m.