Triple
T14082088
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Good Time |
E338891
|
entity |
| Predicate | follows |
P134
|
FINISHED |
| Object | Deer in the Headlights |
E1078347
|
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: Deer in the Headlights | Statement: [Good Time, follows, Deer in the Headlights]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deer in the Headlights Context triple: [Good Time, follows, Deer in the Headlights]
-
A.
Deer in the Headlights
chosen
"Deer in the Headlights" is a song by Owl City, known for its quirky lyrics and synth-pop sound.
-
B.
The Deer
The Deer is a character in the animated film "The Voices," portrayed through both acting and voice work by the same lead performer.
-
C.
Cattle Call
"Cattle Call" is a classic American country and cowboy song, best known through Eddy Arnold’s popular 1955 recording.
-
D.
Reindeer Section
Reindeer Section is a Scottish indie rock supergroup formed by members of bands like Snow Patrol, Mogwai, and Belle and Sebastian, known for its mellow, melodic sound.
-
E.
Nothin' but the Taillights
Nothin' but the Taillights is a 1997 country music album by American singer-songwriter Clint Black that produced several hit singles and marked a major commercial success in his career.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5c5f759c81909bfd60ab35b0937b |
completed | April 14, 2026, 3:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0a175a48190b596ea4cf917e80e |
completed | May 7, 2026, 5:49 p.m. |
Created at: April 9, 2026, 10:21 p.m.