Triple
T34858684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | William Beech |
E1004800
|
entity |
| Predicate | hasLowSelfEsteemAtStart |
P198534
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [William Beech, hasLowSelfEsteemAtStart, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowSelfEsteemAtStart Context triple: [William Beech, hasLowSelfEsteemAtStart, true]
-
A.
hasLow
Indicates that an entity possesses a value, level, or amount of something that is below a defined or expected threshold.
-
B.
lessWorthyThan
Indicates that one entity is considered to have lower value, merit, or worth compared to another entity.
-
C.
hasLowForm
Indicates that an entity possesses a lower or less developed form, version, or level of something relative to a standard or comparison.
-
D.
hasLowerAge
Indicates that one entity is younger in age than another entity.
-
E.
initialAttitude
Indicates the starting stance, feeling, or disposition one entity holds toward another or toward a situation before any interaction or change occurs.
- F. None of above. chosen
Provenance (4 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_69f76dbb678081909a247b9b5e1a73ac |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fef112398081909237c3872345968b |
completed | May 9, 2026, 8:32 a.m. |
| PD | Predicate disambiguation | batch_69feefb14ec08190ab401987d8c84a23 |
completed | May 9, 2026, 8:26 a.m. |
| PDg | Predicate description generation | batch_69fef1112b0c8190a8eb027edb71e4e0 |
completed | May 9, 2026, 8:32 a.m. |
Created at: May 3, 2026, 4 p.m.