Triple
T36456381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Busby Babes era of Manchester United |
E898161
|
entity |
| Predicate | averageAgeCharacteristic |
P34553
|
FINISHED |
| Object | very young squad |
—
|
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: very young squad | Statement: [Busby Babes era of Manchester United, averageAgeCharacteristic, very young squad]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: averageAgeCharacteristic Context triple: [Busby Babes era of Manchester United, averageAgeCharacteristic, very young squad]
-
A.
averageAge
chosen
Indicates the mean age value calculated from a group of entities or individuals.
-
B.
averageStatureCharacteristic
Indicates that an entity has a stature (height or overall size) that is typical or average relative to a relevant comparison group.
-
C.
demographicsCharacteristic
Indicates that one entity serves as a demographic attribute or characteristic (such as age, gender, ethnicity, etc.) that describes or classifies another entity.
-
D.
demographicCharacteristic
Indicates that one entity specifies or describes a demographic attribute or feature (such as age, gender, ethnicity, or similar population-related trait) of another entity.
-
E.
averageHeight
Indicates that the relationship specifies the mean height value calculated from a set of entities or measurements.
- 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_69f76e57f08481908593bd0bc34581c8 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fb6fdc7eb081908ab8475efb38c430 |
completed | May 6, 2026, 4:44 p.m. |
| PD | Predicate disambiguation | batch_69fb5a986e588190b7a10892bd2ff44c |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:10 p.m.