Triple
T9184491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Hirsch |
E220421
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Obsession |
E247485
|
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: Obsession | Statement: [Paul Hirsch, notableWork, Obsession]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Obsession Context triple: [Paul Hirsch, notableWork, Obsession]
-
A.
Obsession
Obsession is a novel by American crime writer Lionel White, known for its hardboiled suspense and for inspiring Jean-Luc Godard’s film "Pierrot le Fou."
-
B.
Obsession
"Obsession" is a synth-pop single by American singer Sky Ferreira that helped introduce her dark, edgy pop aesthetic to a wider audience.
-
C.
Obsession
chosen
Obsession is a 1976 psychological thriller film directed by Brian De Palma, known for its Hitchcockian style, themes of guilt and identity, and Bernard Herrmann’s haunting score.
-
D.
Obsessed
"Obsessed" is a country-pop studio album by American duo Dan + Shay, featuring romantic, harmony-rich tracks that helped solidify their mainstream success.
-
E.
Obsessed
Obsessed is a work by creator Ken Seng, recognized as one of his notable contributions to his field.
- 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_69ca83e6d77c81909862b7afef56b1bf |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69ccc31734908190b8ebe3b57849ca5f |
completed | April 1, 2026, 7:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d05c19635c81908ad2cf07f5ad813c |
completed | April 4, 2026, 12:32 a.m. |
Created at: March 30, 2026, 7:24 p.m.