Triple
T31004202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy Murphy |
E790019
|
entity |
| Predicate | hasPartInMottoOrLegacy |
P14561
|
FINISHED |
| Object | tradition of youth development at Manchester United |
—
|
LITERAL 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: tradition of youth development at Manchester United | Statement: [Jimmy Murphy, hasPartInMottoOrLegacy, tradition of youth development at Manchester United]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPartInMottoOrLegacy Context triple: [Jimmy Murphy, hasPartInMottoOrLegacy, tradition of youth development at Manchester United]
-
A.
hasPartInMotto
chosen
Indicates that something is included as a component or element within a motto.
-
B.
hasMottoOrAssociation
Indicates a relationship where an entity is linked to a motto, slogan, or associated phrase that represents or characterizes it.
-
C.
hasMottoSymbol
Indicates that an entity’s motto is represented or accompanied by a particular symbol.
-
D.
hasMottoDepiction
Indicates that something visually represents or depicts the motto associated with an entity.
-
E.
isTraditionalMottoOf
Indicates that a phrase or saying serves as the historically established or customary motto associated with a particular 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_69f224c73ca48190a1e46cb58ad4045b |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fe779248c081909f0ed1a2a0df23db |
completed | May 8, 2026, 11:53 p.m. |
| PD | Predicate disambiguation | batch_69fe76eaf6d48190998bc7168749cc42 |
completed | May 8, 2026, 11:51 p.m. |
Created at: April 29, 2026, 8:57 p.m.