Triple
T23824662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeonghan |
E589333
|
entity |
| Predicate | hairLengthOftenNoted |
P153767
|
FINISHED |
| Object | long hair in early Seventeen promotions |
—
|
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: long hair in early Seventeen promotions | Statement: [Jeonghan, hairLengthOftenNoted, long hair in early Seventeen promotions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hairLengthOftenNoted Context triple: [Jeonghan, hairLengthOftenNoted, long hair in early Seventeen promotions]
-
A.
hasHair
Indicates that an entity possesses hair as a physical attribute.
-
B.
hairType
Indicates the specific kind or category of hair an entity has, such as its texture, style, or structural type.
-
C.
beardLength
Indicates the measured extent or size of an entity’s beard, typically in units of length.
-
D.
earLength
Indicates the length of an entity’s ear(s), typically as a measurable physical attribute.
-
E.
hairAsSymbol
Indicates that hair functions as a symbolic element representing ideas, traits, or meanings beyond its literal physical presence.
- 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_69e25d1922d481909cab567c06a802ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c7f04bdc8190842a287a86b60d3a |
completed | April 29, 2026, 8:57 a.m. |
| PD | Predicate disambiguation | batch_69f156036ad48190bc2ffdaf39218bcb |
completed | April 29, 2026, 12:51 a.m. |
| PDg | Predicate description generation | batch_69f158b0e320819090b947ee7eb14116 |
completed | April 29, 2026, 1:02 a.m. |
Created at: April 17, 2026, 8 p.m.