Triple
T36418774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highlanders |
E897089
|
entity |
| Predicate | ownerDuringEarlyYears |
P38867
|
FINISHED |
| Object | Frank J. Farrell |
—
|
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: Frank J. Farrell | Statement: [Highlanders, ownerDuringEarlyYears, Frank J. Farrell]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownerDuringEarlyYears Context triple: [Highlanders, ownerDuringEarlyYears, Frank J. Farrell]
-
A.
playedEarlyYearsOf
Indicates that one entity portrayed or acted as the younger/early-life version of another entity in a performance or production.
-
B.
ownerDuringMostOfHistory
Indicates that an entity has been the primary or predominant owner of another entity for the majority of the latter’s historical existence.
-
C.
ownerDuringEra
chosen
Indicates that one entity is the owner of another entity specifically during a defined historical period or era.
-
D.
earlyRole
Indicates that an entity held a particular role or position during an early or initial stage of its involvement or development.
-
E.
sonRaisedIn
Indicates that a son spent his childhood or formative years being brought up in a particular place or environment.
- 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_69f76e54ce408190849acc3f7758937c |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7c777e924819081a6634f549fe552 |
completed | May 3, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69f7c477a4d481908f52e55b6688f60c |
completed | May 3, 2026, 9:56 p.m. |
Created at: May 3, 2026, 4:10 p.m.