Triple
T21467231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harper |
E529622
|
entity |
| Predicate | hasPluralForm |
P5088
|
FINISHED |
| Object | Harpers |
—
|
NE NERFINISHED |
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: Harpers | Statement: [Harper, hasPluralForm, Harpers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harpers Context triple: [Harper, hasPluralForm, Harpers]
-
A.
Harpers
chosen
Harpers is a semi-secret, altruistic organization in the Forgotten Realms dedicated to preserving balance and combating tyranny through espionage, information-gathering, and subtle intervention.
-
B.
Hackett
Hackett is the middle name of David H. Souter, a former Associate Justice of the United States Supreme Court.
-
C.
Hackett
Hackett is a surname of English and Irish origin borne by various notable individuals across fields such as literature, sports, and entertainment.
-
D.
Harper
Harper is a common English surname of Anglo-Saxon origin, historically referring to someone who played the harp.
-
E.
Harper
"Harper" is a 1966 neo-noir mystery film, adapted by screenwriter William Goldman from Ross Macdonald’s novel "The Moving Target" and starring Paul Newman as private detective Lew Harper.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c459acb481909bb6ee452a0045c7 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9f415d48190a2b0993a4f3c018f |
completed | April 23, 2026, 9:44 a.m. |
Created at: April 16, 2026, 6:14 p.m.