Triple
T18902127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mode series |
E462361
|
entity |
| Predicate | hasMainCharacter |
P1183
|
FINISHED |
| Object |
Syndi
Syndi is the central protagonist of the "Mode" science fiction/fantasy novel series by Piers Anthony.
|
E1348178
|
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: Syndi | Statement: [Mode series, hasMainCharacter, Syndi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Syndi Context triple: [Mode series, hasMainCharacter, Syndi]
-
A.
Darla
Darla is a central child character from the classic "Our Gang" (also known as "The Little Rascals") comedy shorts, often portrayed as the charming object of the boys’ affections.
-
B.
Sheba Shayne
Sheba Shayne is a tough, stylish private detective portrayed by Pam Grier in the 1975 blaxploitation film "Sheba, Baby."
-
C.
Edyth
Edyth is a feminine given name, typically considered a less common spelling variant of Edith.
-
D.
Bunny Yeager
Bunny Yeager was an influential American pin-up model turned photographer, best known for her iconic 1950s glamour and bikini photographs that helped popularize models like Bettie Page.
-
E.
Sheri
Sheri is one of the central teen characters in the 1990s Canadian television series "Breaker High," which follows high school students studying aboard a cruise ship.
- 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: Syndi Triple: [Mode series, hasMainCharacter, Syndi]
Generated description
Syndi is the central protagonist of the "Mode" science fiction/fantasy novel series by Piers Anthony.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Syndi Target entity description: Syndi is the central protagonist of the "Mode" science fiction/fantasy novel series by Piers Anthony.
-
A.
Darla
Darla is a central child character from the classic "Our Gang" (also known as "The Little Rascals") comedy shorts, often portrayed as the charming object of the boys’ affections.
-
B.
Sheba Shayne
Sheba Shayne is a tough, stylish private detective portrayed by Pam Grier in the 1975 blaxploitation film "Sheba, Baby."
-
C.
Edyth
Edyth is a feminine given name, typically considered a less common spelling variant of Edith.
-
D.
Bunny Yeager
Bunny Yeager was an influential American pin-up model turned photographer, best known for her iconic 1950s glamour and bikini photographs that helped popularize models like Bettie Page.
-
E.
Sheri
Sheri is one of the central teen characters in the 1990s Canadian television series "Breaker High," which follows high school students studying aboard a cruise ship.
- 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_69d8dcfd05bc819088903cca13cc2846 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c52a4b4c8190b5821996e3c1741d |
completed | April 20, 2026, 6:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0582bc878c8190bfb5f058aa272225 |
completed | May 14, 2026, 8:07 a.m. |
| NEDg | Description generation | batch_6a05871baa5881908c3c0f407b2d82c0 |
completed | May 14, 2026, 8:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0587acbf1c819088bae20aa89783eb |
completed | May 14, 2026, 8:28 a.m. |
Created at: April 10, 2026, 11:58 a.m.