Triple
T3648911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeremy Strong |
E77370
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Strong |
E136757
|
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: Strong | Statement: [Jeremy Strong, familyName, Strong]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Strong Context triple: [Jeremy Strong, familyName, Strong]
-
A.
Strong
chosen
Strong is a surname of English origin borne by various notable individuals across fields such as politics, academia, and the arts.
-
B.
Strong Motion
Strong Motion is a 1992 novel by Jonathan Franzen that explores environmental disaster, family dysfunction, and corporate malfeasance through a darkly comic, realist narrative.
-
C.
Steely
Steely is the first name of Steely McBeam, the anthropomorphic steelworker mascot of the NFL’s Pittsburgh Steelers.
-
D.
Very
"Very" is a 1993 synth-pop album by Pet Shop Boys, known for its upbeat electronic sound and distinctive, colorful packaging.
-
E.
Strong Enough
"Strong Enough" is a 1994 pop-rock song by Sheryl Crow, known for its introspective lyrics about vulnerability and emotional resilience in relationships.
- 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_69ad85de1b988190a45f8dbfebc806fc |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc38c22548190a271a69fb832a5a8 |
completed | March 8, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f3c85348190b1d16179294f7f09 |
completed | March 13, 2026, 5:54 p.m. |
Created at: March 8, 2026, 3:24 p.m.