Triple
T5070360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Spike |
E114261
|
entity |
| Predicate | hasTitle |
P38
|
FINISHED |
| Object | Spike |
E35174
|
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: Spike | Statement: [Spike, hasTitle, Spike]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spike Context triple: [Spike, hasTitle, Spike]
-
A.
Spike
chosen
Spike was a U.S. cable television channel (later rebranded as Paramount Network) known for male-oriented and pop-culture programming, including reality and competition shows.
-
B.
Spike
"Spike" is a song by the British post-punk band The Network, known for its quirky, synth-driven style and satirical edge.
-
C.
Spike
Spike is a track from Tom Petty and the Heartbreakers' 1985 album "Southern Accents," known for its satirical take on punk fashion and culture.
-
D.
Spike
Spike is a component or segment of the multimedia project "Money Money 2020," likely serving as one of its distinct tracks or narrative parts.
-
E.
Spyke
Spyke is a recurring character on the sketch comedy series "Portlandia," known for embodying the show's satirical take on Portland's hipster and counterculture scenes.
- 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_69bd443cf28c8190ad371d603563dbdd |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74a0aa048190ba01281f1b160609 |
completed | March 20, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb10bb740819099797240c9f35eb9 |
completed | March 21, 2026, 2:54 p.m. |
Created at: March 20, 2026, 1:39 p.m.