Triple
T13255078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Daggoo |
E315635
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Tashtego |
E309736
|
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: Tashtego | Statement: [Daggoo, associatedWith, Tashtego]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tashtego Context triple: [Daggoo, associatedWith, Tashtego]
-
A.
Tashtego
chosen
Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
-
B.
Tabutoa
Tabutoa is a village settlement located on the island of Nonouti in the Republic of Kiribati.
-
C.
Paronto
Paronto is the surname of Kris Paronto, a former U.S. Army Ranger and private security contractor known for his role in the 2012 Benghazi attack.
-
D.
Lo’ak
Lo’ak is a central Na’vi character in James Cameron’s Avatar film series, known as the rebellious and empathetic son of Jake Sully and Neytiri.
-
E.
Naʼtche
Naʼtche is another name for the Natchez language, a now-extinct Native American language once spoken in the lower Mississippi Valley.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f7517048190b4eac4e44e81ff66 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f70a4240d881909f0ee898fd272826 |
completed | May 3, 2026, 8:41 a.m. |
Created at: April 9, 2026, 9:24 p.m.