Triple
T3668238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fran |
E77813
|
entity |
| Predicate | shortFormOfNameType |
P25216
|
FINISHED |
| Object | English-language given names |
—
|
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: English-language given names | Statement: [Fran, shortFormOfNameType, English-language given names]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: shortFormOfNameType Context triple: [Fran, shortFormOfNameType, English-language given names]
-
A.
nameType
Indicates the specific category or type of a name associated with an entity (e.g., legal name, nickname, alias, or preferred name).
-
B.
bearerShortName
chosen
Indicates that an entity serves as the short or abbreviated name used to identify the bearer in the context of a relationship or action.
-
C.
isShort
Indicates that one entity has a relatively small height, length, or duration compared to a standard or to other entities.
-
D.
shortNameInThai
Indicates that an entity has a short or abbreviated name expressed in the Thai language.
-
E.
hasNameAbbreviation
Indicates that an entity is associated with a shortened or abbreviated form of its full name.
- 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_69ad85e083008190b2e1b7085fe500bd |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc42997d88190bc765559bd7645fc |
completed | March 8, 2026, 6:47 p.m. |
| PD | Predicate disambiguation | batch_69adb84a20288190a092e4a1b045fe3f |
completed | March 8, 2026, 5:56 p.m. |
Created at: March 8, 2026, 3:25 p.m.