Triple
T20192429
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wolf O'Donnell |
E493006
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Pigma Dengar
Pigma Dengar is a greedy, traitorous boar-like pilot and recurring antagonist in the Star Fox video game series, often serving as a member of rival mercenary teams.
|
E1416186
|
NE FINISHED |
How this triple was built (4 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: Pigma Dengar | Statement: [Wolf O'Donnell, hasMember, Pigma Dengar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pigma Dengar Context triple: [Wolf O'Donnell, hasMember, Pigma Dengar]
-
A.
Pluma
Pluma is the lightweight text editor for the MATE desktop environment, designed as a continuation of the classic GNOME 2 "gedit" editor.
-
B.
Tandika
Tandika is a ward and urban neighborhood located within the Temeke District of Dar es Salaam, Tanzania.
-
C.
Inky
Inky is one of the four ghost antagonists in the Pac-Man video game series, known for his unpredictable movement pattern.
-
D.
Inkere
Inkere is a locality in Finland that serves as the administrative and population center of the former municipality of Pertteli.
-
E.
Crayon
Crayon is a Nigerian singer and songwriter signed to Mavin Records, known for his Afropop and Afrobeat-influenced music.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Pigma Dengar Triple: [Wolf O'Donnell, hasMember, Pigma Dengar]
Generated description
Pigma Dengar is a greedy, traitorous boar-like pilot and recurring antagonist in the Star Fox video game series, often serving as a member of rival mercenary teams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pigma Dengar Target entity description: Pigma Dengar is a greedy, traitorous boar-like pilot and recurring antagonist in the Star Fox video game series, often serving as a member of rival mercenary teams.
-
A.
Pluma
Pluma is the lightweight text editor for the MATE desktop environment, designed as a continuation of the classic GNOME 2 "gedit" editor.
-
B.
Tandika
Tandika is a ward and urban neighborhood located within the Temeke District of Dar es Salaam, Tanzania.
-
C.
Inky
Inky is one of the four ghost antagonists in the Pac-Man video game series, known for his unpredictable movement pattern.
-
D.
Inkere
Inkere is a locality in Finland that serves as the administrative and population center of the former municipality of Pertteli.
-
E.
Crayon
Crayon is a Nigerian singer and songwriter signed to Mavin Records, known for his Afropop and Afrobeat-influenced music.
- F. None of above. chosen
Provenance (5 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_69da6268a034819081cbd9ea5a1c9475 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66ad654648190a27521e6e8ea40c5 |
completed | April 20, 2026, 6:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a083c885e788190888c76b925f290e0 |
completed | May 16, 2026, 9:44 a.m. |
| NEDg | Description generation | batch_6a083d20eb908190b82d668beed3789b |
completed | May 16, 2026, 9:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a083e49d5988190b41e8ce5bcebeca5 |
completed | May 16, 2026, 9:52 a.m. |
Created at: April 11, 2026, 11:37 p.m.