Triple
T32510349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tomb Raider fandom |
E830913
|
entity |
| Predicate | grewDuring |
P24285
|
FINISHED |
| Object | late 1990s |
—
|
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: late 1990s | Statement: [Tomb Raider fandom, grewDuring, late 1990s]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grewDuring Context triple: [Tomb Raider fandom, grewDuring, late 1990s]
-
A.
grewBy
Indicates that one entity’s size, amount, or value increased by a specified quantity or proportion over a given period or change.
-
B.
grewToOver
Indicates that something increased in size, amount, or level until it surpassed a specified threshold.
-
C.
hadGrowthPeriod
chosen
Indicates that an entity experienced a specific span of time during which it underwent growth or development.
-
D.
grewInPowerDuring
Indicates that an entity increased in strength, influence, or authority over the course of a specified time period or event.
-
E.
hasGrowth
Indicates that an entity experiences or possesses an increase or development in size, quantity, or capability over time.
- 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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6c497459081908caefb70f03ee38d |
completed | May 3, 2026, 3:44 a.m. |
| PD | Predicate disambiguation | batch_69f6bd2a14b081908162923dfbf0a6f4 |
completed | May 3, 2026, 3:12 a.m. |
Created at: May 1, 2026, 1 a.m.