Triple
T34773626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | She Got the Goldmine (I Got the Shaft) |
E1002438
|
entity |
| Predicate | firstLineApproximate |
—
|
GENERATED |
| Object | Well, I guess it was back in ’63 when eatin’ my cookin’ got the better of me |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLineApproximate Context triple: [She Got the Goldmine (I Got the Shaft), firstLineApproximate, Well, I guess it was back in ’63 when eatin’ my cookin’ got the better of me]
-
A.
firstLines
Indicates that one text, segment, or element constitutes the initial lines or opening portion of another.
-
B.
firstLineOpened
Indicates that the first line of something (e.g., a document, file, or text block) has been opened or accessed.
-
C.
firstLineForm
Indicates that one entity is the initial or primary line-based representation or form of another entity.
-
D.
firstModelLineOf
Indicates that one entity is the first line of a model or modeling construct associated with another entity.
-
E.
firstLineMention
Indicates that the entity is mentioned in the first line of the associated text or document.
- F. None of above. chosen
Provenance (1 batch)
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_69f76db30a108190bb57ca95b873e5bb |
completed | May 3, 2026, 3:45 p.m. |
Created at: May 3, 2026, 3:59 p.m.