Triple
T30672787
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Henry Turner |
E780834
|
entity |
| Predicate | ageInDeadMenTellNoTales |
P37051
|
FINISHED |
| Object | approximately 21 years old |
—
|
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: approximately 21 years old | Statement: [Henry Turner, ageInDeadMenTellNoTales, approximately 21 years old]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ageInDeadMenTellNoTales Context triple: [Henry Turner, ageInDeadMenTellNoTales, approximately 21 years old]
-
A.
diedInAge
Indicates that an entity died at a specified age.
-
B.
approximateAgeAtDeath
Indicates the estimated age a person or entity was when they died, typically used when the exact age is unknown.
-
C.
hasAgeingProtagonist
Indicates that the work features a main character who is experiencing aging or the later stages of life as a central aspect of their role or development.
-
D.
deathAge
Indicates the age at which an entity dies or is expected to die.
-
E.
protagonistAge
chosen
Indicates the age of the main character or central figure in a narrative or scenario.
- 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_69f224a7fc208190a07d6d3879b31640 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68b159e3881908e7d125ae27eab41 |
completed | May 2, 2026, 11:39 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:32 p.m.