Triple
T18298818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teela Brown |
E438300
|
entity |
| Predicate | hasAgeAtFirstAppearance |
P98261
|
FINISHED |
| Object | approximately 20 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 20 years old | Statement: [Teela Brown, hasAgeAtFirstAppearance, approximately 20 years old]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAgeAtFirstAppearance Context triple: [Teela Brown, hasAgeAtFirstAppearance, approximately 20 years old]
-
A.
airDateOfFirstAppearance
Indicates the calendar date on which an entity (such as a character, show, or episode) was first broadcast or made publicly available.
-
B.
settingOfFirstAppearance
Indicates the location or context in which an entity is first introduced or appears.
-
C.
yearOfFirstApparition
Indicates the calendar year in which the entity first appeared or was introduced.
-
D.
firstPublicationYearOfAppearance
Indicates the year in which an entity (such as a work or character) first appeared in a published form.
-
E.
ageFirstMentioned
chosen
Indicates the point in time or age at which an entity is first referenced or mentioned in a given context.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017d96588190ac1e326803142976 |
completed | April 19, 2026, 4:23 p.m. |
| PD | Predicate disambiguation | batch_69e44fdf43d08190bbcfb6b1fe3cc0ee |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:35 a.m.