Triple
T14646200
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harold Weiss |
E343855
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Harold |
E9958
|
NE 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: Harold | Statement: [Harold Weiss, hasGivenName, Harold]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harold Context triple: [Harold Weiss, hasGivenName, Harold]
-
A.
Harold
chosen
Harold is a masculine given name of Old English origin, historically borne by several notable figures including kings and modern public personalities.
-
B.
Harold Shawn
Harold Shawn is the son of Antiguan-American writer Jamaica Kincaid.
-
C.
Harold Crick
Harold Crick is the meticulous IRS auditor and unsuspecting protagonist of the metafictional film "Stranger Than Fiction," whose life begins mirroring a narrated novel.
-
D.
Harold Sylvester
Harold Sylvester is an American actor best known for his roles in film and television, including a recurring part on the sitcom "Married... with Children."
-
E.
Harold Dull
Harold Dull was an American poet and the creator of Watsu, a form of aquatic bodywork that combines elements of massage, shiatsu, and water therapy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ebe8048190a2935d00c9cfd8be |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d5d05481908dbb23392c05d23b |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.