Triple
T3749843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Tucker |
E81299
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Debris (TV series) |
E225900
|
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: Debris (TV series) | Statement: [Jonathan Tucker, notableWork, Debris (TV series)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debris (TV series) Context triple: [Jonathan Tucker, notableWork, Debris (TV series)]
-
A.
Debris (TV series)
chosen
Debris is a science fiction television series that follows government agents investigating mysterious phenomena caused by wreckage from an alien spacecraft falling to Earth.
-
B.
The Del
The Del is a historic, Victorian beachfront resort in Coronado, California, renowned for its distinctive red-roofed architecture and status as a National Historic Landmark.
-
C.
Deimos (Terror)
Deimos (Terror) is the Greek personification of dread and terror, often depicted accompanying the war god Ares into battle.
-
D.
The Debacle
The Debacle is the English title of Émile Zola’s historical novel depicting the Franco-Prussian War and the fall of the Second French Empire.
-
E.
Olay
Olay is a popular global skincare brand known for its anti-aging creams, moisturizers, and facial care products.
- 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_69ad8b19b7b08190a6188804e99c53e9 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adcb6d0ac4819092c9a41cc60f518d |
completed | March 8, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4db31f964819087bab143f638754f |
completed | March 14, 2026, 3:51 a.m. |
Created at: March 8, 2026, 3:35 p.m.