Triple
T25487072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skinner family (speculative) |
E638739
|
entity |
| Predicate | possibleNameSourceOf |
P36337
|
FINISHED |
| Object | Skinner Street |
—
|
NE NERFINISHED |
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: Skinner Street | Statement: [Skinner family (speculative), possibleNameSourceOf, Skinner Street]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: possibleNameSourceOf Context triple: [Skinner family (speculative), possibleNameSourceOf, Skinner Street]
-
A.
usedAsNameSourceFor
chosen
Indicates that one entity serves as the origin or basis from which another entity’s name is derived.
-
B.
knownFrom
Indicates that one entity is aware of, has learned about, or recognizes another entity through a specified source, context, or medium.
-
C.
likelySource
Indicates that one entity is considered the probable origin or cause of another entity or event.
-
D.
hasUncertainOriginalName
Indicates that the entity’s original name is not known with certainty or is subject to doubt or ambiguity.
-
E.
nameOf
Indicates that one entity is the name or designation of another entity.
- F. None of above.
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_69e75dbabeac8190bab30628f8b799d4 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| PD | Predicate disambiguation | batch_69f63182f1408190bddc1214fcbd6145 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 21, 2026, 2:32 p.m.