Triple
T8567713
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Local Hero |
E202847
|
entity |
| Predicate | includedIn |
P1393
|
FINISHED |
| Object | Lucky Town |
E40538
|
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: Lucky Town | Statement: [Local Hero, includedIn, Lucky Town]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucky Town Context triple: [Local Hero, includedIn, Lucky Town]
-
A.
Lucky Town
chosen
Lucky Town is a 1992 rock album by Bruce Springsteen that blends heartland rock with introspective, personal songwriting.
-
B.
Lucky Man
"Lucky Man" is a folk-influenced progressive rock song by Greg Lake, best known from Emerson, Lake & Palmer’s debut album and recognized for its distinctive Moog synthesizer solo.
-
C.
Lucky That Way
"Lucky That Way" is a song featured on the album "Blame the Vain" by American country musician Dwight Yoakam.
-
D.
Lucky
Lucky is a regional supermarket chain brand in the United States known for its neighborhood grocery stores and value-focused offerings.
-
E.
Lucky
Lucky is the protagonist of the 1993 film "Poetic Justice," portrayed by Tupac Shakur as a sensitive and complex mail carrier navigating love, grief, and self-discovery.
- 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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe9d5d4ac8190a4d74c88b872d0b7 |
completed | March 31, 2026, 3:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf281edc348190a0c7e82dc4cb15c6 |
completed | April 3, 2026, 2:38 a.m. |
Created at: March 30, 2026, 6:21 p.m.