Triple
T5297643
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trent Alexander-Arnold |
E119894
|
entity |
| Predicate | youthYearsStart |
P10338
|
FINISHED |
| Object | 2004 |
—
|
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: 2004 | Statement: [Trent Alexander-Arnold, youthYearsStart, 2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: youthYearsStart Context triple: [Trent Alexander-Arnold, youthYearsStart, 2004]
-
A.
youthYears
Indicates the period of time during which an individual spent their youth, typically associated with early development or formative years, often in relation to an organization, activity, or place.
-
B.
beganInYear
chosen
Indicates that an event, process, or state started in a specific calendar year.
-
C.
cameOfAge
Indicates that an entity reached the age or stage of maturity at which it is considered an adult or fully responsible.
-
D.
laterTypeStartYear
Indicates that the starting year of one type or classification occurs later in time than the starting year of another type or classification.
-
E.
settingStartYear
Indicates the year in which a particular setting, configuration, or condition first becomes effective or begins to apply.
- 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_69bd446f22b88190b6a47fb91c68a3e7 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8e44e7c881909b241b2fec366038 |
completed | March 20, 2026, 6:13 p.m. |
| PD | Predicate disambiguation | batch_69bd845097ac81909678624c4907fda4 |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:53 p.m.